Health & Safety Industry Today
AI in Medical Imaging Market Size to Expand at a 36.07% CAGR 2024 to 2030 | According to MMR
The AI in Medical Imaging Market Size was 2.34 billion USD in 2023, is projected to reach 20.21 billion USD by 2030, will experience a compound annual growth rate (CAGR) of 36.07% from 2023 to 2030. The rising adoption of artificial intelligence technologies for increasing the accuracy, efficiency, and analysis of medical imaging is leading to this massive expansion.
Key Drivers & Opportunities for the Growth of the Market
The growing incidence of chronic illnesses, including cancer and cardiovascular diseases, calls for accurate and timely diagnostics and is thus driving the adoption of AI-based imaging solutions. Complex medical images are known to be harder to analyze by surgeons; AI algorithms help in efficient identifying the disease in the early stage and planning a treatment for handling it by analyzing this data in lesser time. Deep learning and neural networks support building strong AI applications in imaging, enhancing whole workflows and aiding human decision-making in healthcare.
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Segmentation Analysis
AI in Medical Imaging Market By Software/Platform Type (Cloud-based Imaging Software, Server-based Accounting Solution, and Others), By Application (Oncology, Neurology, Cardiology, and Others), By Modality (X-Ray, CT, Ultrasound, Mammography, and Others), By End-UserHospitals, Research Laboratories, and Others.
by Technology: The technology consists of machine learning, deep learning, and natural language processing. One major contributor to this growth is deep learning, which is widely used for image processing and pattern detection.
by Application: By application, it has been segmented into studies — radiology, cardiology, neurology, and more. Radiology is the largest segment of the market, using AI-assisted image interpretation to aid in the accurate diagnosis of diseases.
by Modality – X-ray, MRI, CT scan, ultrasound, etc; MRI and CT scans are two important examples, where the clarity of these images and the accuracy of diagnostic information can be enhanced by AI.
Market Segment by Type, covers: hospitals, diagnostic centers and research institutions and more. Hospitals capture the largest share, deploying AI-supported imaging systems due to their need for better patient outcomes and operational efficiency.
Country-Level Analysis
United States:The U.S. dominates the market with heavy implementations of healthcare AI and presence of major market players. High diagnostic accuracy and cost efficiency drives AI in medical imaging market growth.
Germany: Due to its highly developed healthcare system and its focus on medical innovation, Germany ranks as one of the leading EU States. Partnerships with other healthcare providers and technology companies encourage AI inclusion in imaging.
China: China is a rapidly growing market for AI healthcare adoption with support from government incentives and heavy technology investments. Increase in market growth due to emphasis on improving diagnostic facilities in urban and rural areas.
India: The high burden of chronic diseases and India's expanding health care sector is leading to demand for more efficient diagnostic tools. AI-mediated radiology can be envisioned to overcome the challenges of accessibility and quality of healthcare globally.
Japan : Japan is a technologically advanced nation and with rapid improvement in population dynamics and age distribution, it is a national focus for AI in medical imaging creation of advanced diagnostic services and aims at imparting effective care through them.
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Competitor Analysis
The AI in medical imaging market is characterized by fierce competition among the key market players who are focusing more on the innovation and collaborations. Notable companies include:
IBM Corporation: Provides AI-imaging solutions to improve diagnostic accuracy and support clinical decision-making.
Siemens Healthineers: Creates AI software that is embedded into imaging equipment to enhance image quality and facilitate workflow.
GE Healthcare: Offers AI-enabled imaging solutions to support early disease diagnosis and personalized treatment plans.
Philips Healthcare — Specializes in AI solutions to accelerate imaging workflows and improve diagnostic confidence.
Zebra Medical Vision: AI algorithms for medical imaging analytics and early diagnosis of a range of conditions.
These businesses are conducting extensive research and development to deliver innovative AI in medical imaging that enhances patient outcomes while lowering healthcare costs.
Conclusion
With the growing need of accurate diagnostics capture AI in medical imaging market is up for a strong growth owing to the technological advancements. This would not only open a plethora of uses in clinical research but will also play an important role in assisting disease detection and treatment planning when integrating AI into various upper and lower body imaging modalities, enhancing the quality of patient care worldwide.
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